Analisis Citra Kuning Telur Berbasis Ekstraksi Ciri Statistika Orde Satu untuk Mengenali Jenis Telur Ayam Ras dan Ayam Kampung

<p><em>Chicken eggs are one of the most familiar side dishes in Indonesia besides tempeh. High protein and low prices make eggs a favorite side dish for the people of Indonesia. Although almost every day we see egg yolks we often can't tell for sure what chicken egg yolks we see. Based on this, the author tries to study egg yolk imagery based on first-order feature extraction using various features such as variance, skewness, carding, entropy, and mean. Statistical calculations are used based on the pixel values of the original image in this first-order texture calculation with the sole purpose of finding the histogram properties of the image. The results of first-order statistical characteristic calculations were used to differentiate between native and purebred chicken eggs. This study facilitates decision making, especially in the selection of accurate and measurable egg yolks from several types of chicken eggs, thereby minimizing public mistakes in choosing eggs based on egg yolks. The first step that can be done is to determine the data consisting of various types of images of free-range chicken egg yolks. These are free-range chicken eggs and purebred chicken eggs. The image is then segmented by separating the yolk and white, then first-order statistical analysis which later the results of these statistical calculations can be used as a reference in determining the type of egg. The results of the trial resulted in first-order feature extraction statistical values, namely for native chickens, the mean value was 132.743, min 69.5255, max 252.5, standard deviation was 29.922 and variance was 905.882. The average value of statistics was order 1 for native chickens. of mean 137,176, min 48, max 240.2, standard deviation 31,454 and variance of 957.89.</em></p>

Studi Pelepasan Beban Pada PLTU Keramasan Saat Terjadi Penurunan Frekuensi

<p><em>The demand for electric power increases along with the development of technological progress and development. The use of electricity is an important factor in people's lives, both in households, lighting, communication, </em><em>and </em><em>industrial. The purpose of this research is to calculate the frequency response before load shedding, to calculate the frequency response after load shedding and to analyze the load recovery after normal frequency in the load. The methods to be used in writing and discussing this research are: Observation Method, Interview Method / Interview, Literature Study Method. Based on the calculation of the data in the previous chapter, the following conclusions can be drawn, the calculation of the conditions before carrying out the load shedding is based on the rate of decreasing frequency from the result obtained is 1.6 Hz / s, then to calculate the time used in determining the frequency at the time of load shedding then the results obtained are 54 Hz, Meanwhile, to calculate the frequency after load shedding that is obtained is 49.1 Hz, Calculation of load shedding time is expected when there is a decrease in frequency of 10.5 seconds, Calculation of the load rate of increase expected after load shedding then the optimal load value that must be removed is 5.55 w. </em></p>

Rancang Bangun Gelang Locator Pasien Terkonfirmasi Covid-19 dengan Metode Haversine sebagai Pengidentifikasian Pelanggaran Zona Aman Isolasi Mandiri Menggunakan Komunikasi Lora (Long Range)

<p><em>Positive cases of COVID-19 continue to grow rapidly. This prompted the government to make new rules in the form of various types of health protocols. One of them is the implementation of the self-isolation protocol for confirmed COVID-19 patients. Self-isolation is a rule that requires confirmed patients to stay at home until the specified time limit to break the chain of COVID-19 development. However, it is suggested and as a rule that there are still many ODP and PDP who still violate the rules of self-isolation from the government. The ODP and PDP still roam freely without thinking about the impacts and risks to their surroundings. With the departure of confirmed patients, the risk of developing COVID-19 becomes greater. </em><em>In this study, a confirmed patient locator bracelet was made that can map the position of the patient based on latitude and longitude. The latitude and longitude data from the bracelet is sent to the gateway by LoRa communication. LoRa communication is also used to minimize the dimensions of the bracelet. In addition to mapping the location of the patients, by applying the Heversine method this system is able to identify when a safe zone violation occurs in the form of a change in the color of the marker. In the future, it is hoped that this system will be able to handle the problem of developing COVID-19 caused by confirmed patients who still violate the self-isolation protocol.</em></p>

Prototipe Pengaman Kebakaran Rumah Menggunakan Thermal Camera

80% of cases of building or house fires in Indonesia are caused by electrical short circuits. Currently, there are only MCB and ELCB devices protecting for building electrical installations, but these devices cannot protect the conditions that cause fires. In a short circuit, there will be heating of the short cable or device. In this study, researchers used a thermal camera that can be placed on an electrical panel to be able monitor the temperature of electrical panel which includes cables, MCB, or can be placed on other devices. When the detected object temperature exceeds a predetermined limit, the device will provide a warning in the form of sound and text and can automatically cut off electricity in the building's electricity network. This research produces a prototype of a power grid safety device using a Raspberry Pi that can be applied to buildings and objects that have the potential to emit excess heat that can cause fires. Systems it will be able to monitor, provide warnings and can automatically cut off the electricity network when the temperature of the observed object exceeds the specified limit and has the potential to emit excess heat which can cause a fire.

Analisa Perbandingan Citra Hasil Segmentasi Menggunakan Metode K-Means dan Fuzzy C Means pada Citra Input Terkompresi

<p><em style="text-align: justify; text-indent: 14.2pt;"><span style="font-family: 'Times New Roman',serif; mso-ansi-language: EN;" lang="EN">In pattern recognition, image processing plays a role in automatically separating objects from the background. In addition, the object will be processed by the pattern classifier. In the medical world, image processing plays a very important role. CT Scan (Computed Tomography) or CAT Scan (Computed Axial Tomography) is an example of an image processing application that can be used to view fragments or cross sections of parts of the human body. Tomography is the process of producing two-dimensional images from three-dimensional film through several one-dimensional scans. Magnetic resonance imaging (MRI) is the image most often used in the field of radiology. MRI images can display the anatomical details of objects clearly in multiple sections (multiplanar) without changing the patient's position. In this study, two methods were compared, namely K-Means and Fuzzy C Means, in a segmentation process with the aim of separating between normal areas or areas with disturbances (lesions). The images used are brain and chest MRI images with a total of 10 MRI images. The image quality of the segmentation results is compared with the quality test using the Variation of Information (VOI) parameters, Global Consistency Error (GCE), MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio) and segmentation time.</span></em></p><pre style="text-align: justify; text-indent: 14.2pt;"><em><span style="font-family: 'Times New Roman',serif; mso-ansi-language: EN;" lang="EN">In pattern recognition, image processing plays a role in automatically separating objects from the background. In addition, the object will be processed by the pattern classifier. In the medical world, image processing plays a very important role. CT Scan (Computed Tomography) or CAT Scan (Computed Axial Tomography) is an example of an image processing application that can be used to view fragments or cross sections of parts of the human body. Tomography is the process of producing two-dimensional images from three-dimensional film through several one-dimensional scans. Magnetic resonance imaging (MRI) is the image most often used in the field of radiology. MRI images can display the anatomical details of objects clearly in multiple sections (multiplanar) without changing the patient's position. In this study, two methods were compared, namely K-Means and Fuzzy C Means, in a segmentation process with the aim of separating between normal areas or areas with disturbances (lesions). The images used are brain and chest MRI images with a total of 10 MRI images. The image quality of the segmentation results is compared with the quality test using the Variation of Information (VOI) parameters, Global Consistency Error (GCE), MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio) and segmentation time.</span></em></pre>

Pengatur Kecepatan Prototipe Mesin Solenoid 4 Induktor Menggunakan Metode Kontrol Frekuensi

<p class="JOURNALBODY"><em>The development of electric vehicles is in rapid progress, especially in terms of the main engine drive. The use of solenoid can be applied as an alternative driving electric vehicles instead of a dc motor as the main driver. In this paper, the prototype solenoid machine is applied by using 4 inductors controlled by an Arduino microcontroller and the solenoid driver based on application of Mosfet L298N. The prototype runs successfully. Based on the experimental results, the greater the frequency value applies to the driver, the faster the solenoid moves. The acceleration occures due to the electromagnetic field which is getting stronger and the field is proportional to the frequency value, so the solenoid movement is faster.</em></p>

Analisis Data Berat Badan Dan Panjang Bayi Dengan Alat Ukur Panjang Dan Berat Badan Bayi Berbasi Arduino

Monitoring the nutritional status of infants at this time is mostly still using the manual method, by looking at anthropomeric standard books so that nutritional monitoring takes longer and is less practical. Babies need nutritional status based on age, weight, length of the baby (baby's height), and sex of the baby. To find out the nutritional condition of the baby, the author wants to develop a measurement tool for weight and length of the baby with the output data in Microsoft Excel. This study aims to design a baby's weight and length measurement tools with data output at Microsoft Excel and perform a function test. The process of detection in infants using ultrasonic sensors that serves to determine the height or length of the baby's body and load cell sensors to determine the baby's weight, then the LCD (Liquid Crystal Display) which displays the results of ultrasonic sensors and load cell sensors and Arduino Uno. The results of this study are an infant weight and height measurement tool with an arduino uno-based anthropometric index method with 2 ultrasonic sensors as height and length counters, and 1 load cell sensor as a weight calculator for infants that will later be displayed on the LCD screen.

Perkiraan Pemakaian dan Kebutuhan Beban Energi Listrik Rayon Juwana Menggunakan Jaringan Saraf Tiruan (Radial Basis Function)

<p class="IndexTerms">Along with the development of the times the need for electrical energy is increasing. PT. PLN (Persero) as a company that supplies electrical energy must be able to meet the needs of electrical energy to run a business to supply electric power in an even amount to meet the needs of the household, industrial, social and business sectors.. The purpose of this research to determine how much the growth of electrical loads in 2020 to 2025 at PT. PLN (Persero) Rayon Juwana. To find out the amount of increase in electrical energy required. Electrical data used data for 8 years, from 2012 to 2019. The results of this study are in the form of an estimate of the use and need for load electrical energy load for the next 5 years, from 2020 to 2025, the data used are the number of subscribers, connected power, and the amount of energy using a simulated neural network with the method (radial basis function). the results of this study an increase per year an average of 1% per year. in 2019 the value is 1.07%, in 2020 it is 1.10%, 2021 is 1.21%, for 2022 it is 1.27%, 2023 is 1.28%, 2024 is 1.17% and 2025 is 1.31 %.</p>

Perancangan Sistem Kontrol CNC Pengebor PCB Otomatis Berbasis Raspberry PI

<p><em>Circuit</em><em> </em><em>Board (PCB) is a micro-board containing</em><em> </em><em>various components</em><em> </em><em>electronics used in an automatic circuit. In PCB drilling is usually done</em><em> </em><em>human</em><em> </em><em>which takes a lot}when the hole in the PCB is getting more and more. And it takes precision when the eye</em><em> </em><em>touches the PCB board which gives rise to friction force and can cause</em><em> </em><em>drilling. The purpose of this research was the development of tools in the form of automated drills using computers with BCNC software as face-to-face CNC movements. The engine is driven with stepper motor and dc motor as spindle. In this BCNC software the drilling process is done by entering the codes in the form of gcode which can later be read by CNC. The coordinates of the holes in the layout that have been created are obtained by converting the layout into codes called gcode. The process is carried out using PCB designer software. Thoroughness testing on all six axes found an error </em><em>1,2</em><em>% with ten attempts each. PID implementation on DC motor obtained constant value Kp = 54,</em><em> </em><em>Ki = 38 and Kd = 0.9. As well as before drilling, the installation of drill bits must be precise so that at the time of spinning, the drill bits do not shake.</em></p>

Monitoring Suhu pada Infant Warmer Menggunakan INCU Analyzer Berbasis Arduino

<em>Temperature is the most important parameter in monitoring Infant Warmer medical equipment. In this study, temperature monitoring was carried out on the Lullaby GE Infant Warmer using INCU based on Arduino Uno. The temperature setting used was 34 ° C, 35 ° C, 36 ° C and 37 ° C with each setting repeated 3 times. The temperature sensor used in the INCU analyzer for T1 to T4 is DS18B20, while the T5 uses a DHT22 temperature sensor. At the Infant Warmer temperature, a low error value was obtained for all temperature settings, namely a temperature of 34 ° C with an error of 0.02, a temperature of 35 ° C with an error of 0.03, a temperature of 36 ° C with an error of 0.004 and a temperature of 37 ° C with an error of 0. The INCU analyzer output low temperature is at T5, with temperature settings of 34 ° C, 35 ° C, 35 ° C and 37 ° C respectively 0.009, 0.07, 0.11 and 0.28. While the error value on T1 to T4 ranges from 0.37, namely at T3 for a temperature setting of 35 ° C to 0.84, namely at T3 for a setting of 37 ° C. It can be concluded that the INCU analyzer that has a high degree of accuracy is the T5 using the DHT22 temperature sensor.</em>